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学术论文

1. Z. Cao and N. A. Schmid, “Recognition Performance of Cross-Spectral Periocular Biometrics and Partial Face at Short and Long Standoff Distance,” Open Transactions on Information Processing, 1(2), 20–32, 2014.

2. Z. Cao and N. A. Schmid, “Matching Heterogeneous Periocular Regions: Short and Long Standoff Distances,” in Proc. of the IEEE International Conference on Image Processing (ICIP), pp. 4967–4971, 2014 (EI).

3. Z. Cao and N. A. Schmid, “Composite Multi-Lobe Descriptor for Cross-Spectral Face Recognition: Matching Active IR to Visible Light Images”, in Proc. SPIE 9476, Automatic Target Recognition XXV, pp. 94760T2015 (EI, 特邀口头报告).

4. M. Alkhweldi, Z. Cao and N. A. Schmid, “Distributed Estimation of Parametric Field in Presence of Uncertainty in Sensors Locations,” in Proc. SPIE 9476, Automatic Target Recognition XXV, pp. 94760R2015 (EI).

5. Z. Cao, N. A. Schmid and T. Bourlai, “Composite Multi-Lobe Descriptors for Cross-Spectral Recognition of Full and Partial Face,” Optical Engineering, 55(8), 083107 (2016) (SCI).

6. Z. Cao and N. A. Schmid, “Fusion of Operators for Heterogeneous Periocular Recognition,” Pattern Recognition Letters, 80p2, pp170-180 (2016) (SCI).

7. Z. Cao, N. A. Schmid and X. Li, “Image disparity in cross-spectral face recognition: Mitigating camera and atmospheric effects”, in Proc., Automatic Target Recognition XXVI, 2016 (EI, 特邀口头报告).

8. Z. Cao and N. A. Schmid, “Novel Composite Operator for Cross-Spectral Face Recognition”, SPIE Newsroom Magazine, April 2015 (ISSN 1818-2259).

9. Z. Cao, N. A. Schmid and T. Bourlai, “Local Operators and Measures for Heterogeneous Face Recognition”, Face Recognition across the Electromagnetic Spectrum, Springer, 2016 (ISBN 978-3-319-28499-6).

10. Z. Caoand N. A. Schmid, “Heterogeneous Sharpness for Cross-Spectral Face Recognition,” in Proc. SPIE 10202, Automatic Target Recognition XXVII,pp. 102020Q,2017

11. M. Jiang, B. Cui, N. A. Schmid, M. A. McLaughlin and Z. Cao, “Wavelet denoising of Radio Observations of Rotating Ratio Transients (RRATs): Improved Timing Parameters for Eight RRATs”, The Astrophysical Journal.2017

12.J. Chen, L. Pang, H. Zhao and Z. Cao, “Successive minutia-free mosaicking for small-sized fingerprint recognition,” IET Image Processing,2018. (SCI)

13. W. Zhao, L. Pang, K. Xiao, H. Wang, Z. Cao and H. Zhao, “Palmprint recognition using a modified competitive code with distinctive extended neighborhood,” IET Computer Vision,12(8),pp.1151-1162,2018. (SCI).

14. Z. Cao, N.A. Schmid, H. Zhao and L. Pang, “Compensating quality disparity for cross-spectral face recognition”, Journal of Electronic Imaging, 2019. (SCI)

15. Z. Cao, Y. Zhao, L.Pang and H. Zhao, “Nighttime periocular recognition with long standoffs using deep learning,” in Proc. SPIE, Automatic Target Recognition, 2019, (EI)

16. Z. Cao, Y. Zhao, L. Pang, W. Zhao and H. Zhao, “Cross-Spectral Face Recognition with Image Quality Disparity Using Image Fusion,” in Proc. SPIE 9476, Automatic Target Recognition, 2019 (EI)

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